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Other literature type . 2025
License: CC BY
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Other ORP type . 2025
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Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Other ORP type . 2025
License: CC BY
Data sources: Datacite
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GDPR Personal Data Handling - A Comprehensive Guide for Application Developers

Authors: JIBE COMPANY BV;

GDPR Personal Data Handling - A Comprehensive Guide for Application Developers

Abstract

This report, "GDPR Personal Data Handling: A Comprehensive Guide for Application Developers," offers guidance on complying with the General Data Protection Regulation (GDPR), particularly for application developers integrating with the DataU platform. It emphasizes that personal data is broadly defined under GDPR, encompassing any information that can identify an individual, including seemingly innocuous data like food preferences and purchase history when linked to a person. The report distinguishes between truly anonymous data (not covered by GDPR) and pseudonymized data (still considered personal data), highlighting that genuine anonymization is complex. It stresses the importance of a legal basis for initial data collection, even if the data is later anonymized.A significant portion is dedicated to GDPR compliance throughout the application lifecycle, covering: Design Phase (Privacy by Design): Data minimization, purpose limitation, privacy controls architecture, and security by design. Build Phase (Implementation Best Practices): Granular consent management, implementation of data subject rights (access, rectification, erasure, portability, objection), robust security measures, transparency, documentation, and data retention policies. Operations Phase (Ongoing Compliance): Monitoring, auditing, breach response procedures, third-party management, training, and continuous improvement. The report then introduces the DataU Platform as a revolutionary solution for GDPR compliance. DataU shifts from organization-controlled to user-controlled data storage and permission management through a distributed architecture featuring nodeU for permissions, proxyU for secure data transport, idU for identity verification, and dashboardU for user management. DataU addresses specific GDPR requirements by: Providing blockchain-based consent management. Enabling instant user access and portability of data. Simplifying the right to erasure (organizations lose access when permissions are revoked). Promoting data minimization by design. Enhancing security through distributed storage and encrypted connections. Reducing breach risk and notification burdens. Automating records of processing activities. Streamlining third-party processor management. The document highlights key technical features like blockchain-based permission management for immutability and crash/byzantine fault tolerance, alongside robust security measures. It details benefits for developers, organizations, and data subjects, including reduced compliance overhead, lower liability, increased user trust, and true data control. Finally, the report concludes by reinforcing that DataU transforms GDPR compliance from a burden into a strategic advantage, offering significant cost savings and competitive positioning in a privacy-conscious market. It recommends DataU integration as a foundation for future-proof digital services and provides integration steps and real-world use cases across e-commerce, e-health, e-mobility, IoT, smart cities, and government services.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average